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MIT Lincoln Laboratory Group 102--Summer Research Program Intern (ISR & Tactical Systems) in Lexington, Massachusetts

MIT Lincoln Laboratory sits at the intersection of academia, industry, and government. Our nationally-recognized staff work collaboratively to solve some of the nation’s most challenging problems. As part of the ISR and Tactical Systems Division, we team broadly across MIT Lincoln Laboratory to address a wide variety of problems through analysis, design, prototyping, and testing. Our teaming culture energizes our staff and fosters a high level of collaboration among a wide array of skills and experience levels. In addition, the group values work-life balance, using hybrid arrangements and flexible schedules to maximize productivity.

The Embedded and Open Systems Group applies our expertise to developing software and processing architectures for aircraft, ground vehicles, unmanned systems, sensors, radios of all sizes, ground stations, and bases operating across the globe. We develop cutting-edge solutions for the nation's needs in the areas of embedded computing, distributed systems and global battle management for the future. We succeed by participating in all program phases of system analysis, architecture definition, design, prototyping, field testing, and ultimately the transfer of our technology. We get to see our technology make its way from early concepts all the way to flying on test aircraft or fielded at test sites.

The group is committed to a diverse and inclusive workplace. We understand that a diverse workplace fosters a creative and productive atmosphere and we are dedicated to making sure that every staff member in the group is supported in their work and that every voice is heard. The Laboratory sponsors resource groups and events dedicated to a wide variety of identities.

Position Description

We are looking for talented students to spend the summer working with one of our multi-disciplinary teams conducting exciting research and prototyping efforts in one of several areas. Internship projects vary from year to year and are based on current efforts at the time of the internship. All projects are technical and require a sound understanding of engineering practices.

Potential efforts include:

  • Real-time implementation and optimization of advanced signal processing algorithms onto diverse computational elements such as CPUs and GPUs

  • Development and implementation of high-volume, high-speed data processing stages on commercial FPGA offerings

  • Development of operator UI for fielded test assets, and supporting lab demonstrations and field experiments

  • Define and implement RESTful APIs to expose new data and integrate into a common ground system

  • Implement and evaluate novel algorithms in signal processing, scheduling or distributed systems

  • Design, implement, and evaluate algorithms for detection, identification, and other AI/ML related capabilities using data from sensors and other sources

To be successful in this role you will need:

  • Completed coursework in Software Engineering related areas of study such as Computer Science, Electrical Engineering, and/or Computer Engineering

  • Project and/or work experience in implementation of software in languages and tools such as C++, Java, Python or commercial Hardware Description Languages (HDLs)

  • Experience working in a technical project team(s)

  • Effective written and oral communications skills in technical environments

  • Previous applicable internship experience is a plus

  • U.S. Citizenship required

    Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

    MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

    Requisition ID: [[id]]

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